GSR: Simulator - FPG

Basic Package Attributes
AttributeValue
Title FPG
Short Description Forward Population Genetic simulation
Long Description FPG (for Forward Population Genetic simulation) simulates a population of constant size that is undergoing various evolutionary processes, including: mutation, recombination, natural selection, and migration. The meaning of "forward" in this context is simply that time, within the simulation, moves forward just as it does in the real world. This is in contrast to coalescent population genetic simulation in which time, as represented within the simulation, proceeds back into the past. Coalescent simulations have many advantages, but they are unwieldy if they incorporate natural selection on multiple sites.
Project Started 2009
Last Release 11 years ago
Homepagehttps://bio.cst.temple.edu/~hey/software
Citations
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated05-03-2018 (898 days ago)
Author verificationThe basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.
Detailed Attributes
Attribute CategoryAttribute
Target
Type of Simulated DataGenotype at Genetic Markers,
VariationsBiallelic Marker,
Simulation MethodForward-time,
Input
Data Type
File format
Output
Data TypeGenotype or Sequence, Mutation, Diversity Measures, Fitness,
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size ChangesConstant Size,
Gene FlowIsland Models,
Spatiality
Life Cycle
Mating SystemRandom Mating,
Fecundity
Natural Selection
Determinant
ModelsDirectional Selection, Multi-locus models, Epistasis,
Recombination
Mutation Models
Events Allowed
Other
InterfaceCommand-line, Graphical User Interface,
Development
Tested PlatformsWindows, Mac OS X,
LanguageC or C++,
LicenseGNU Public License,
GSR CertificationAccessibility, Documentation,

No example publication using FPG has been provided.

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